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gpt-5-miniMicrosoft Azure AI @uksouth

in /1M$0.28input tokens
out /1M$2.20output tokens
context200K100K out
median ttft1.98smeasured
api
chat
hosting
UK
model lab
OpenAI
weights
closed
added
August 2025
model id
azure/gpt-5-mini@uksouth

capabilities 4/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

2 providers serve gpt-5-mini. This page is one of them. Compare all endpoints

pricing

no markup
input
$0.28
output
$2.20
cache write
-
cache read
$0.03

worked cost

Estimated cost for three request volumes
volumecost
100K in + 10K out$0.0495
1M in + 100K out$0.49
10M in + 1M out$4.95

Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing

provider price, passed throughper 1M tokens

measured

through Sep 12
median ttft
1.98s
median tok/s
89.0
blended /1M
$0.35
cache hit
65.9%
answered
99.90%

Weekly aggregates from production traffic routed through Requesty to this endpoint. A metric with no qualifying sample is left out rather than filled in. Compare against the other providers

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
Math Index85.0
AIME 202585.0
MMLU Pro82.8
GPQA Diamond80.3
τ²-Bench71.1
LiveCodeBench69.2
Terminal-Bench Hard28.8
Intelligence Index20.6
Humanity's Last Exam15.9
9 evalsmean59.9

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2025-08-07.

policy

data terms
retention
none
trains on prompts
no
hosted in
UK
deployment
uksouth

Terms are the provider's, not Requesty's: routing a request here puts it under them. Microsoft Privacy Statement

Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.

quickstart

openai compatible
azure/gpt-5-mini@uksouth

this id pins the microsoft azure ai deployment, with no routing and no failover. the managed id on the canonical page routes across all 2 providers instead

main.py
from openai import OpenAI client = OpenAI(    api_key="YOUR_REQUESTY_API_KEY",    base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create(    model="azure/gpt-5-mini@uksouth",    messages=[        {"role": "user", "content": "Explain quantum computing in one paragraph."},    ],) print(response.choices[0].message.content)

Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models

notes

reference

GPT-5 mini is a faster, more cost-efficient version of GPT-5. It's great for well-defined tasks and precise prompts.

questions 7

How much does gpt-5-mini cost?
gpt-5-mini is priced at $0.28 per million input tokens and $2.20 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of gpt-5-mini?
gpt-5-mini has a context window of 200K tokens, with a maximum output of 100K tokens per response. That is roughly 267 words of input you can fit in a single prompt.
How does gpt-5-mini perform on benchmarks?
gpt-5-mini scores 85.0% on Math Index, 85.0% on AIME 2025, 82.8% on MMLU Pro. The benchmarks pane shows every published result, each normalised to 100.
What can gpt-5-mini do?
gpt-5-mini supports tool calling, extended reasoning, prompt caching, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use gpt-5-mini with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "azure/gpt-5-mini@uksouth". The quickstart pane shows Python, JavaScript and cURL snippets.
Can I run gpt-5-mini through Requesty?
Yes. gpt-5-mini runs through Requesty's OpenAI-compatible API, served from Microsoft Azure AI in uksouth. You do not host the model yourself: point base_url at Requesty, set the model to "azure/gpt-5-mini@uksouth", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.
What region is this deployment?
This variant of gpt-5-mini is deployed in uksouth. Region-specific endpoints matter for data residency, latency to your users, and compliance requirements such as GDPR and HIPAA. Other regions for the same model are listed on the canonical model page.

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call gpt-5-mini through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology

gpt-5-minimicrosoft azure aiin $0.28 /1Mout $2.20 /1Mctx 200Kttft 1.98shosted UK2 providers serve this model